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Hydraulically informed graph theoretic measure of link criticality for the resilience analysis of water distribution networks
Water Distribution Networks (WDN) are complex and highly interconnected systems. To maintain operation under failure conditions, WDNs should have built-in resilience based on topological and energy redundancy. There are various methods for analysing the resilience of WDNs based on either hydraulic m...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer International Publishing
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6214304/ https://www.ncbi.nlm.nih.gov/pubmed/30839751 http://dx.doi.org/10.1007/s41109-018-0079-y |
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author | Ulusoy, Aly-Joy Stoianov, Ivan Chazerain, Aurelie |
author_facet | Ulusoy, Aly-Joy Stoianov, Ivan Chazerain, Aurelie |
author_sort | Ulusoy, Aly-Joy |
collection | PubMed |
description | Water Distribution Networks (WDN) are complex and highly interconnected systems. To maintain operation under failure conditions, WDNs should have built-in resilience based on topological and energy redundancy. There are various methods for analysing the resilience of WDNs based on either hydraulic models or surrogate network measures; however, not a single universally accepted method exists. Hydraulic modeling of disruptive operational scenarios suffer from combinatorial restrictions and uncertainties. Methods that rely on surrogate network measures do not take into account the complex interactions between topological and energy redundancy. To bridge this gap, the presented work introduces a hydraulically informed surrogate measure of pipe criticality for the resilience analysis of WDNs, called Water Flow Edge Betweenness Centrality (WFEBC). The WFEBC combines the random walk betweenness centrality with hydraulic (energy) loss principles in pipes. The proposed network resilience estimation method is applied to a case study network and an operational network. Furthermore, a network decomposition approach is proposed to complement the network estimation method and facilitate its scalability to large operational networks. The described resilience analysis method is benchmarked against a hydraulic model-based analysis of WDN reserve capacity. WFEBC is also applied to assess the improvement in resilience allowed by the implementation of a dynamically adaptive topology in an operational network. The benefits and limitations of the proposed method are discussed. |
format | Online Article Text |
id | pubmed-6214304 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Springer International Publishing |
record_format | MEDLINE/PubMed |
spelling | pubmed-62143042018-11-13 Hydraulically informed graph theoretic measure of link criticality for the resilience analysis of water distribution networks Ulusoy, Aly-Joy Stoianov, Ivan Chazerain, Aurelie Appl Netw Sci Research Water Distribution Networks (WDN) are complex and highly interconnected systems. To maintain operation under failure conditions, WDNs should have built-in resilience based on topological and energy redundancy. There are various methods for analysing the resilience of WDNs based on either hydraulic models or surrogate network measures; however, not a single universally accepted method exists. Hydraulic modeling of disruptive operational scenarios suffer from combinatorial restrictions and uncertainties. Methods that rely on surrogate network measures do not take into account the complex interactions between topological and energy redundancy. To bridge this gap, the presented work introduces a hydraulically informed surrogate measure of pipe criticality for the resilience analysis of WDNs, called Water Flow Edge Betweenness Centrality (WFEBC). The WFEBC combines the random walk betweenness centrality with hydraulic (energy) loss principles in pipes. The proposed network resilience estimation method is applied to a case study network and an operational network. Furthermore, a network decomposition approach is proposed to complement the network estimation method and facilitate its scalability to large operational networks. The described resilience analysis method is benchmarked against a hydraulic model-based analysis of WDN reserve capacity. WFEBC is also applied to assess the improvement in resilience allowed by the implementation of a dynamically adaptive topology in an operational network. The benefits and limitations of the proposed method are discussed. Springer International Publishing 2018-08-13 2018 /pmc/articles/PMC6214304/ /pubmed/30839751 http://dx.doi.org/10.1007/s41109-018-0079-y Text en © The Author(s) 2018 Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. |
spellingShingle | Research Ulusoy, Aly-Joy Stoianov, Ivan Chazerain, Aurelie Hydraulically informed graph theoretic measure of link criticality for the resilience analysis of water distribution networks |
title | Hydraulically informed graph theoretic measure of link criticality for the resilience analysis of water distribution networks |
title_full | Hydraulically informed graph theoretic measure of link criticality for the resilience analysis of water distribution networks |
title_fullStr | Hydraulically informed graph theoretic measure of link criticality for the resilience analysis of water distribution networks |
title_full_unstemmed | Hydraulically informed graph theoretic measure of link criticality for the resilience analysis of water distribution networks |
title_short | Hydraulically informed graph theoretic measure of link criticality for the resilience analysis of water distribution networks |
title_sort | hydraulically informed graph theoretic measure of link criticality for the resilience analysis of water distribution networks |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6214304/ https://www.ncbi.nlm.nih.gov/pubmed/30839751 http://dx.doi.org/10.1007/s41109-018-0079-y |
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